@article{2c2dc1d6d84a437aa5d3a32ae733f687,
title = "Is authorship sufficient for today{\textquoteright}s collaborative research? A call for contributor roles",
abstract = "Assigning authorship and recognizing contributions to scholarly works is challenging on many levels. Here we discuss ethical, social, and technical challenges to the concept of authorship that may impede the recognition of contributions to a scholarly work. Recent work in the field of authorship shows that shifting to a more inclusive contributorship approach may address these challenges. Recent efforts to enable better recognition of contributions to scholarship include the development of the Contributor Role Ontology (CRO), which extends the CRediT taxonomy and can be used in information systems for structuring contributions. We also introduce the Contributor Attribution Model (CAM), which provides a simple data model that relates the contributor to research objects via the role that they played, as well as the provenance of the information. Finally, requirements for the adoption of a contributorship-based approach are discussed.",
keywords = "Attribution, authorship, contributorship, peer review, publication ethics",
author = "Vasilevsky, {Nicole A.} and Mohammad Hosseini and Samantha Teplitzky and Violeta Ilik and Ehsan Mohammadi and Juliane Schneider and Barbara Kern and Julien Colomb and Edmunds, {Scott C.} and Karen Gutzman and Himmelstein, {Daniel S.} and Marijane White and Britton Smith and Lisa O{\textquoteright}Keefe and Melissa Haendel and Holmes, {Kristi L.}",
note = "Funding Information: This collaborative work emerged from a discussion by the Attribution Working Group at the FORCE19 meeting in Edinburgh, Scotland. FORCE11 has been a longtime catalyst in “facilitating the change toward improved knowledge creation and sharing” and we are grateful for collaborations born from the attribution working group to advance progress of credit in scholarship. Thank you to Matthew Brush for your work on the Contribution Attribution Model. We are grateful for funding that supports this work, including grants from the National Institutes of Health: the National Center for Advancing Translational Sciences, grant numbers U24TR002306 & UL1TR001422; the National Cancer Institute, grant numbers U54CA202995, U54CA202997, & U54CA203000; the National Institute of Arthritis and Musculoskeletal and Skin Diseases, grant number P30AR072579; the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project number 327654276 – SFB 1315. The authors also thank N. Lagace for sharing progress on NISO-based CRediT efforts. Any opinions expressed in this document are those of the authors and do not necessarily reflect the views of NIH, team members, or affiliated organizations and institutions. Funding Information: In addition to conventional publications such as articles and books, a wide array of other research outputs might be generated during the research process, including datasets, software, reagents, and protocols. Increasingly, large research funders (e.g., the National Science Foundation (Piwowar )) and the US National Institutes of Health (National Institutes for Health Office of Extramural Research ) consider nontraditional research products as important tools to communicate and track research as well as knowledge translation. However, there persists a real lack of understanding and standard processes to acknowledge and credit these non-article research objects (Altman et al. ; Crosas ). Publisher Copyright: {\textcopyright} 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.",
year = "2021",
doi = "10.1080/08989621.2020.1779591",
language = "English (US)",
volume = "28",
pages = "23--43",
journal = "Accountability in Research",
issn = "0898-9621",
publisher = "Taylor and Francis Ltd.",
number = "1",
}